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.
Fo
r
an
ef
f
ec
ti
v
e
o
p
er
atio
n
o
f
f
o
r
est
p
r
o
tectio
n
s
er
v
ice,
it
is
n
ec
ess
ar
y
to
k
n
o
w
t
h
e
d
y
n
a
m
ic
s
o
f
s
to
r
m
ac
tiv
it
y
i
n
t
h
e
ce
r
tain
r
eg
io
n
.
Fo
r
ex
a
m
p
le,
t
h
e
s
to
r
m
ac
ti
v
it
y
i
n
th
e
Kr
as
n
o
y
ar
s
k
T
er
r
ito
r
y
v
ar
ies
s
u
b
s
ta
n
tia
ll
y
w
it
h
i
n
a
d
a
y
.
A
lo
n
g
w
it
h
t
h
at,
t
h
e
h
ig
h
e
s
t
d
eg
r
ee
o
f
s
to
r
m
r
ep
etitio
n
is
o
b
s
er
v
ed
b
et
w
ee
n
1
4
an
d
1
8
o
’
clo
ck
[
1
4
]
.
T
h
e
av
er
ag
e
s
to
r
m
d
u
r
atio
n
v
ar
ies
f
r
o
m
1
,
2
to
2
.
6
h
.
W
ith
in
o
n
e
d
a
y
,
th
e
b
ig
g
e
s
t
n
u
m
b
er
o
f
s
to
r
m
s
is
r
ec
o
r
d
ed
b
etw
ee
n
1
2
an
d
1
8
o
’
clo
ck
,
lo
ca
l
t
i
m
e
[
1
4
]
.
Sev
er
al
f
ac
to
r
s
in
f
l
u
e
n
ce
th
e
s
to
r
m
-
i
n
d
u
ce
d
f
o
r
est
f
ir
e
o
cc
u
r
r
en
ce
:
1
)
s
to
r
m
’
s
p
as
s
i
n
g
,
2
)
p
r
esen
ce
o
f
t
h
e
clo
u
d
-
to
-
g
r
o
u
n
d
d
is
ch
ar
g
e
,
3
)
t
h
e
am
o
u
n
t
o
f
p
r
e
c
i
p
i
t
a
ti
o
n
f
a
l
l
en
d
u
r
in
g
th
e
s
t
o
r
m
,
4
)
th
e
t
r
ee
s
p
e
ci
es
an
d
i
t
s
p
h
y
s
i
c
a
l
s
t
a
t
e
,
5
)
th
e
p
r
e
s
en
c
e
o
f
f
u
e
ls
,
6
)
s
o
i
l
c
o
n
d
u
c
t
iv
ity
.
T
h
e
b
i
g
g
es
t
n
u
m
b
e
r
o
f
g
r
o
u
n
d
lig
h
tn
in
g
d
i
s
ch
ar
g
e
o
c
cu
r
s
a
t
n
ig
h
t
o
r
e
a
r
ly
m
o
r
n
in
g
[
1
4
]
.
F
o
r
e
s
t
f
u
e
l
ig
n
it
i
o
n
o
c
c
u
r
s
a
t
n
i
g
h
t
.
I
n
th
e
e
a
r
ly
m
o
r
n
in
g
,
th
e
d
ew
f
o
r
m
a
ti
o
n
c
r
e
at
e
s
u
n
f
av
o
r
a
b
l
e
co
n
d
i
t
i
o
n
s
f
o
r
f
i
r
e
t
o
s
p
r
e
a
d
in
th
is
p
e
r
i
o
d
.
F
i
r
e
s
o
f
t
en
o
c
cu
r
o
n
ly
af
t
e
r
a
d
u
r
a
b
l
e
b
r
ea
k
in
tim
e
af
t
e
r
th
e
s
t
o
r
m
[
1
5
]
.
I
n
R
u
s
s
ia,
in
t
h
e
p
er
io
d
f
r
o
m
1
9
9
2
till
2
0
0
0
,
s
to
r
m
-
i
n
d
u
ce
d
f
o
r
est
f
ir
es
eq
u
aled
3
7
to
5
3
%
o
f
th
e
ar
ea
o
n
w
h
ic
h
f
ir
e
h
ad
s
p
r
e
ad
,
w
it
h
a
r
elati
v
e
n
u
m
b
er
o
f
8
.
8
-
1
7
.
5
%
[
1
6
]
.
Dr
y
s
to
r
m
s
,
p
r
o
d
u
ci
n
g
m
ass
in
f
la
m
m
a
tio
n
s
o
n
lar
g
e
s
p
ac
es
,
o
f
ten
cr
ea
te
a
v
er
y
i
n
te
n
s
e
s
i
t
u
atio
n
[
1
4
]
.
T
h
e
m
o
s
t
k
n
o
w
n
GI
S
-
s
y
s
te
m
s
at
p
r
esen
t a
r
e
as f
o
llo
w
s
:
1
.
I
n
f
o
r
m
a
tio
n
s
y
s
te
m
o
f
r
e
m
o
te
m
o
n
ito
r
i
n
g
o
f
f
o
r
est
f
ir
es
I
SD
M
-
R
o
s
les
k
h
o
z
(
R
u
s
s
ia)
[
1
0
]
.
T
h
e
cu
r
r
en
t
f
ir
e
d
an
g
er
is
as
s
es
s
ed
r
el
y
i
n
g
o
n
Nester
o
v
cr
iter
io
n
w
h
ic
h
h
as
n
o
p
h
y
s
ical
b
asis
u
n
d
er
its
el
f
.
T
h
e
m
i
n
i
m
u
m
ter
r
ito
r
y
i
s
a
zo
n
e
o
f
r
esp
o
n
s
i
b
ilit
y
o
f
a
s
ep
ar
ate
m
eteo
r
o
lo
g
ical
s
tatio
n
.
T
h
e
Natio
n
al
R
esear
ch
T
o
m
s
k
P
o
ly
tec
h
n
ic
Un
iv
er
s
it
y
i
m
p
le
m
en
ted
in
th
i
s
s
y
s
te
m
th
e
p
r
o
b
ab
ilis
tic
cr
iter
io
n
to
as
s
ess
th
e
f
o
r
est
f
ir
e
d
an
g
er
w
it
h
r
eg
ar
d
to
th
e
s
to
r
m
ac
ti
v
it
y
a
n
d
an
t
h
r
o
p
o
g
en
ic
i
m
p
ac
t.
2
.
C
an
ad
ia
n
Fo
r
est
Fire
Da
n
g
er
R
ati
n
g
S
y
s
te
m
C
F
FDR
S
(
C
a
n
ad
a)
an
d
Natio
n
al
Fire
Da
n
g
er
R
ati
n
g
S
y
s
te
m
NFDR
S (
US
A
)
[
7
]
,
[
8
]
.
T
h
e
f
o
r
est f
ir
e
d
an
g
er
is
as
s
es
s
ed
r
el
y
in
g
o
n
t
h
e
a
n
al
y
s
is
o
f
b
i
g
ar
r
a
y
s
o
f
s
tati
s
tical
in
f
o
r
m
atio
n
o
n
lar
g
e
f
o
r
este
d
ter
r
ito
r
ies.
T
h
e
s
y
s
te
m
co
n
s
id
er
s
t
h
e
r
ea
s
o
n
s
w
h
y
f
o
r
est
f
ir
es
o
cc
u
r
(
an
th
r
o
p
o
g
en
ic
i
m
p
ac
t a
n
d
s
to
r
m
ac
tiv
it
y
)
.
3
.
E
u
r
o
p
ea
n
Fo
r
est
Fire
I
n
f
o
r
m
atio
n
S
y
s
te
m
E
FF
I
S
(
E
u
r
o
p
e)
[
9
]
.
T
h
e
m
o
s
t
p
r
o
g
r
ess
iv
e
co
m
p
o
n
e
n
t
o
f
s
y
s
te
m
r
ep
ea
ts
a
s
u
b
s
y
s
te
m
o
f
t
h
e
C
an
ad
ia
n
Fo
r
est
Fir
e
Dan
g
er
R
a
tin
g
S
y
s
te
m
.
I
t
h
as
t
h
e
s
a
m
e
ch
ar
ac
ter
is
tic
s
an
d
u
s
es t
h
e
E
a
r
th
r
e
m
o
te
s
e
n
s
i
n
g
d
ata.
4
.
GI
S
o
f
T
o
m
s
k
Sta
te
Un
iv
er
s
it
y
(
R
u
s
s
ia)
[
1
7
]
.
T
h
e
s
y
s
te
m
c
o
n
s
id
er
s
t
h
e
m
at
h
e
m
atica
l
m
o
d
el
o
f
d
r
y
i
n
g
th
e
f
o
r
est
f
u
el
la
y
er
.
I
g
n
itio
n
p
r
o
ce
s
s
es
ar
e
n
o
t
co
n
s
id
er
ed
.
T
h
e
m
i
n
i
m
u
m
ter
r
ito
r
y
i
s
th
e
f
o
r
est
m
e
n
s
u
r
atio
n
s
tr
atu
m
.
5
.
Vir
tu
al
Fire
S
y
s
te
m
(
Gr
ee
ce
)
[
1
8
]
.
I
t
u
s
e
s
w
eb
s
er
v
ice
s
to
d
is
p
lay
th
e
in
f
o
r
m
at
io
n
.
I
t
in
clu
d
es
th
e
ass
es
s
m
en
t
o
f
f
o
r
est
f
ir
e
d
an
g
er
r
ely
i
n
g
o
n
t
h
e
an
al
y
s
is
o
f
m
eteo
r
o
lo
g
ical
d
ata.
is
T
h
er
e
is
n
o
d
ata
ab
o
u
t
th
e
m
in
i
m
u
m
ter
r
ito
r
y
.
T
h
er
e
is
an
o
p
p
o
r
tu
n
it
y
to
p
r
ed
ict
p
r
o
ce
s
s
o
f
f
o
r
est f
ir
e
s
p
r
ea
d
in
g
.
6
.
Fire
Statio
n
(
P
o
r
tu
g
al)
[
1
9
]
.
T
h
e
r
ea
s
o
n
s
f
o
r
f
o
r
est
f
ir
e
to
o
cc
u
r
ar
e
n
o
t
co
n
s
id
er
ed
.
T
h
er
e
is
a
p
o
s
s
ib
ilit
y
to
f
o
r
ec
ast th
e
f
o
r
est f
ir
e
s
p
r
ea
d
in
g
.
T
h
e
d
etailed
an
al
y
s
i
s
o
f
th
e
s
p
ec
if
ied
s
y
s
te
m
s
s
h
o
w
s
t
h
at
to
ass
ess
th
e
p
r
o
b
ab
ilit
y
o
f
f
o
r
est
f
ir
es
o
cc
u
r
r
en
ce
b
y
s
to
r
m
ac
ti
v
it
y
,
g
en
er
all
y
s
tatis
tical
d
ata
o
n
t
h
e
s
p
ec
i
f
ied
ter
r
ito
r
y
ar
e
u
s
ed
.
Ho
w
e
v
er
,
d
ata
o
f
th
e
W
W
L
L
N
[
2
0
]
n
et
w
o
r
k
o
n
lig
h
t
n
i
n
g
d
is
c
h
ar
g
e
s
ar
e
a
v
ail
ab
le
p
r
ac
ticall
y
ac
r
o
s
s
t
h
e
ter
r
ito
r
y
o
f
th
e
w
h
o
le
w
o
r
ld
,
in
cl
u
d
in
g
ac
r
o
s
s
W
este
r
n
Sib
er
ia.
I
t
is
n
ec
e
s
s
ar
y
to
an
al
y
ze
th
e
p
o
s
s
ib
ilit
y
h
o
w
to
ap
p
ly
t
h
ese
d
ata
f
o
r
m
o
n
ito
r
i
n
g
,
as
s
es
s
m
e
n
t
a
n
d
f
o
r
ec
asti
n
g
o
f
f
o
r
est
f
ir
es.
T
i
m
ir
y
az
ev
s
k
i
y
f
o
r
estr
y
o
f
t
h
e
T
o
m
s
k
r
eg
io
n
is
co
n
s
id
er
ed
as th
e
t
y
p
ica
l te
r
r
ito
r
y
[
1
]
.
T
h
e
T
o
m
s
k
R
e
g
io
n
,
i
ts
n
o
r
th
er
n
p
ar
t,
in
p
ar
tic
u
lar
,
is
a
f
ai
r
l
y
t
y
p
ica
l
f
o
r
ested
ter
r
ito
r
y
o
f
a
b
o
r
ea
l
f
o
r
est
zo
n
e.
I
ts
e
x
a
m
p
le
m
a
y
p
r
o
v
id
e
a
q
u
ite
g
e
n
er
al
d
escr
i
p
tio
n
o
f
t
h
e
co
n
d
itio
n
s
f
o
r
f
ir
e
o
cc
u
r
r
en
ce
.
T
h
e
r
eg
io
n
h
as
v
a
s
t
f
o
r
est
r
eso
u
r
c
es.
Fo
r
est
ar
ea
s
co
v
er
9
0
.
5
%
o
f
it
s
to
tal
ter
r
ito
r
y
.
T
h
er
e
ar
e
1
7
m
illi
o
n
h
ec
tar
es
co
v
er
ed
w
it
h
w
o
o
d
y
s
p
ec
ies,
i
n
clu
d
i
n
g
9
.
9
m
i
llio
n
h
ec
tar
es
co
v
er
ed
w
it
h
co
n
i
f
er
o
u
s
s
p
ec
ies.
T
h
e
m
ai
n
la
n
d
s
ca
p
e
t
y
p
es
w
i
t
h
in
t
h
e
T
o
m
s
k
R
e
g
io
n
ar
e
i
n
t
er
f
lu
v
ial
p
lai
n
s
a
n
d
r
iv
er
v
al
l
e
y
s
alo
n
g
w
it
h
o
ld
r
u
n
o
f
f
p
lai
n
s
.
I
n
ter
f
l
u
v
ial
p
lai
n
s
ar
e
r
ep
r
esen
ted
b
y
p
o
s
itiv
e
a
n
d
n
e
g
ativ
e
m
o
r
p
h
o
s
tr
u
ct
u
r
es.
Fi
g
u
r
e
1
s
h
o
w
s
t
h
e
g
eo
m
o
r
p
h
o
lo
g
ical
d
e
m
ar
ca
tio
n
o
f
t
h
e
T
o
m
s
k
R
e
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s
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
0
8
8
-
8708
I
J
E
C
E
Vo
l.
6
,
No
.
6
,
Dec
em
b
er
2
0
1
6
:
3
11
2
–
31
2
0
3114
esp
ec
iall
y
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av
o
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ab
le
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est
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th
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s
f
o
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ests
,
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ep
en
d
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g
o
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th
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t
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er
co
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d
itio
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s
,
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th
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ee
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al
f
la
m
m
ab
ili
t
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k
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ar
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eg
is
ter
ed
:
s
p
r
in
g
f
ir
e
w
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v
e,
co
n
s
ta
n
t
s
u
m
m
er
a
n
d
au
tu
m
n
f
ir
es
[
1
]
.
Up
to
3
7
% o
f
f
o
r
est f
ir
es c
au
s
ed
b
y
s
to
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m
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ter
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o
f
th
e
T
o
m
s
k
r
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o
n
[
2
1
].
T
h
u
s
,
it
is
n
ec
es
s
ar
y
to
attr
ac
t
all
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ailab
le
in
f
o
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m
atio
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ti
v
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ied
ter
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w
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ata
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f
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m
p
le,
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ata
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f
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L
N.
An
d
also
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w
m
et
h
o
d
s
.
Mo
d
er
n
r
esear
ch
es
s
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o
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at
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h
e
clu
s
ter
an
al
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ep
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en
t
m
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h
o
d
to
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etec
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r
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lar
ities
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t
ca
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e
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s
ed
as
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ase
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o
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f
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r
cr
ea
tio
n
o
f
h
y
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r
id
p
r
ed
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e
m
o
d
els
[
2
2
]
,
an
d
f
o
r
s
tu
d
y
i
n
g
o
f
e
x
i
s
ten
ti
al
r
eg
u
lar
itie
s
[
2
3
-
2
5
].
Fig
u
r
e
1
.
Geo
m
o
r
p
h
o
lo
g
ical
D
iv
i
s
io
n
i
n
to
Dis
t
r
ict
s
o
f
t
h
e
T
o
m
s
k
R
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g
io
n
[
2
6
]
R
esear
ch
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b
j
ec
tiv
e
is
cl
u
s
ter
an
al
y
s
i
s
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f
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d
ata
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in
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ata
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d
an
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ca
u
s
ed
b
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s
to
r
m
ac
ti
v
it
y
.
2.
RE
S
E
ARCH
M
E
T
H
O
D
2
.
1
.
DB
SCAN
Al
g
o
rit
h
m
Den
s
i
t
y
-
b
ased
clu
s
ter
i
n
g
al
g
o
r
ith
m
DB
S
C
A
N
(
Den
s
it
y
-
B
ased
Sp
atial
C
l
u
s
ter
i
n
g
o
f
Ap
p
licatio
n
s
w
it
h
No
is
e,
a
s
p
r
o
p
o
s
ed
b
y
Ma
r
tin
E
s
ter
[
2
7
]
,
is
w
id
el
y
u
s
ed
in
ap
p
lied
r
esear
ch
es,
in
cl
u
d
in
g
f
o
r
clu
s
ter
i
n
g
d
ata
o
f
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W
L
L
N
f
o
r
a
w
o
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ld
s
ca
le.
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n
th
e
alg
o
r
it
h
m
,
t
h
e
clu
s
ter
is
th
e
co
h
er
en
t
d
en
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e
(
d
en
s
it
y
-
co
n
n
ec
ted
)
s
et
o
f
p
o
in
ts
.
T
h
e
alg
o
r
ith
m
h
as
t
w
o
p
ar
a
m
eter
s
:
m
a
x
i
m
u
m
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ad
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s
o
f
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n
ei
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h
b
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p
s
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d
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in
i
m
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m
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m
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er
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p
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ts
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th
e
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p
s
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ig
h
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o
r
h
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d
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i
n
P
t
s
.
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el
y
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g
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tio
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p
s
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n
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o
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f
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«
co
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t
»
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b
o
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n
d
ar
y
p
o
in
t
s
an
d
w
as
te
(
n
o
is
e)
.
Giv
e
n
a
s
et
o
f
o
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j
ec
ts
D
w
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h
co
n
tain
s
N
o
b
j
ec
ts
,
a
d
is
tan
ce
f
u
n
ctio
n
:
d
i
s
t
O
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an
d
t
w
o
p
ar
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eter
s
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p
s
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an
d
M
i
n
P
t
s
N
.
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p
s
-
neig
hb
o
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d
o
f
a
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is
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ca
lled
a
s
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he
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po
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,
t
he
dis
t
a
nce
t
o
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hich
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ex
ce
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p
s
,
t
ha
t
is
,
(
)
:
|
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,
)
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p
s
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d
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s
t
p
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.
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po
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p
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tly
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.
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p
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()
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t
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p
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i
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s
if
t
here
is
a
cha
in
o
f
po
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1
,
,
n
pp
,
1
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,
n
pp
s
uch t
ha
t
1
i
p
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direct
ly
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it
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re
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ro
m
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p
.
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po
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is
d
ens
ity
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co
nn
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ted
t
o
a
p
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in
t
q
w
.
r
.
t.
E
p
s
,
M
i
n
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if
t
h
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is
a
p
o
in
t
o
s
u
c
h
t
h
at
b
o
th
p
an
d
q
ar
e
d
en
s
it
y
-
r
ea
ch
ab
le
f
r
o
m
o
w
.
r
.
t.
E
p
s
,
M
i
n
P
t
s
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
J
E
C
E
I
SS
N:
2
0
8
8
-
8708
WW
L
LN
Da
ta
C
lu
s
te
r
A
n
a
lysi
s
Meth
o
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o
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est .
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.
.
(
B
a
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vskiy
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iko
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3115
P
o
in
ts
w
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e
in
s
id
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o
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a
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s
ter
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n
P
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s
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n
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o
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r
s
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n
d
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o
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a
v
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no
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.
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e
w
ill
b
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ie
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l
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ai
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ith
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o
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Require:
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p
s
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r
ad
iu
s
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f
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p
s
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n
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h
b
o
r
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;
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i
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s
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t
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i
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m
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m
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e
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el.
f
o
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ea
ch
p
o
in
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p
in
d
ataset
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if
p
it h
as n
o
t b
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er
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ed
to
a
clu
s
ter
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et
t
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o
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t,
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p
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t
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d
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v
i
s
it
s
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e
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t p
o
in
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n
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ataset
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nd
if
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nd
f
o
r
2
.
2
.
Clus
t
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ing
W
WL
L
N
f
o
r
Sib
er
ia
(
T
o
m
s
k
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eg
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h
e
W
W
L
L
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n
et
w
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k
p
r
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v
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f
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m
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o
n
a
lig
h
t
n
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g
d
is
c
h
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g
e:
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ti
m
e,
g
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g
r
ap
h
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co
o
r
d
in
ates,
ac
c
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r
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m
b
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s
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s
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h
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ap
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ates
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f
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teg
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o
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e
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s
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i
n
cid
es
w
it
h
r
ea
l sto
r
m
s
.
Fig
u
r
e
2
r
ep
r
esen
ts
th
e
s
p
ati
al
d
is
tr
ib
u
tio
n
o
f
cl
u
s
ter
s
,
o
b
tain
ed
o
n
w
ater
co
n
d
it
io
n
s
2
0
,
3
,
2
0
,
o
n
J
u
l
y
2
2
.
T
h
u
s
,
t
h
e
cl
u
s
ter
5
4
,
w
h
ic
h
co
n
tai
n
s
t
h
e
g
r
ea
te
s
t
n
u
m
b
er
o
f
d
i
s
ch
ar
g
es,
i
s
ta
k
en
o
u
t
s
ep
ar
atel
y
.
Ser
ial
n
u
m
b
er
s
o
f
cl
u
s
ter
s
co
r
r
esp
o
n
d
b
y
ti
m
e
(
T
ab
le
2
)
o
f
s
eq
u
en
ce
o
f
o
cc
u
r
r
en
ce
a
n
d
ac
tio
n
o
f
clu
s
ter
s
th
a
t
allo
w
s
u
s
to
s
ee
a
tr
aj
ec
to
r
y
o
f
t
h
eir
m
o
v
e
m
en
t.
So
,
t
h
e
f
i
r
s
t
clu
s
ter
at
n
u
m
b
er
4
8
ar
is
e
s
p
r
ac
ticall
y
in
t
h
e
ce
n
ter
o
f
th
e
co
n
s
id
er
ed
ter
r
ito
r
y
.
T
h
en
,
th
e
li
g
h
tn
i
n
g
ac
ti
v
i
t
y
i
s
d
is
p
lace
d
o
n
th
e
n
o
r
t
h
wes
t
o
f
th
e
4
9
th
a
n
d
th
e
5
0
th
cl
u
s
ter
s
.
T
h
e
n
e
x
t c
l
u
s
ter
5
1
ar
is
es
to
t
h
e
ea
s
t
o
f
th
e
p
r
ev
io
u
s
o
n
e.
P
r
ac
ticall
y
,
at
t
h
e
s
a
m
e
ti
m
e,
t
h
er
e
is
a
n
ac
tio
n
o
f
a
clu
s
ter
5
1
in
t
h
e
n
o
r
th
ea
s
t,
o
f
a
c
lu
s
ter
5
2
in
th
e
s
o
u
t
h
w
e
s
t o
f
th
e
ter
r
ito
r
y
an
d
o
f
a
clu
s
ter
5
3
.
T
h
en
,
ap
p
r
o
x
im
a
tel
y
i
n
a
h
a
lf
an
h
o
u
r
to
t
h
e
s
o
u
t
h
w
e
s
t
o
f
t
h
e
ter
r
ito
r
y
,
th
er
e
is
a
p
o
w
er
f
u
l
r
as
h
o
f
li
g
h
tn
i
n
g
d
is
ch
ar
g
e
s
w
ith
in
m
o
r
e
t
h
an
3
h
o
u
r
s
,
w
h
ic
h
b
elo
n
g
s
to
a
clu
s
ter
5
4
.
T
h
u
s
,
th
e
s
co
p
e
o
f
a
clu
s
ter
5
4
also
ex
ten
d
s
o
n
th
e
ter
r
ito
r
y
,
w
h
er
e
th
e
s
to
r
m
cl
u
s
ter
s
o
p
er
ated
ea
r
lier
.
Mo
s
t
li
k
el
y
,
th
e
cl
u
s
te
r
5
5
is
also
a
p
ar
t
o
f
th
e
clu
s
ter
5
4
,
w
h
ich
i
s
alr
ea
d
y
ce
asi
n
g
i
ts
ac
ti
v
it
y
.
L
i
g
h
tn
i
n
g
f
las
h
es
o
f
th
e
cl
u
s
t
er
5
4
,
w
er
e
r
ec
o
r
d
ed
o
n
T
o
m
s
k
m
eteo
r
o
lo
g
ical
s
tat
io
n
.
A
c
co
r
d
in
g
to
d
ata
o
f
T
o
m
s
k
m
eteo
r
o
lo
g
ica
l
s
tat
io
n
,
o
n
t
h
i
s
d
a
y
,
i
n
s
ep
a
r
ate
h
o
u
r
s
,
t
h
e
s
to
r
m
w
i
th
o
u
t
p
r
ec
ip
itatio
n
w
a
s
o
b
s
er
v
ed
(
r
eliab
le
p
r
o
g
n
o
s
is
r
p
5
.
r
u
)
.
B
y
th
e
ti
m
e
o
f
it
s
ac
tio
n
,
t
h
e
m
ar
k
ed
o
u
t
clu
s
ter
s
co
r
r
esp
o
n
d
to
d
escr
ip
tio
n
s
o
f
p
ar
a
m
e
ter
s
o
f
s
to
r
m
ce
lls
.
T
h
u
s
,
clu
s
ter
s
4
8
,
4
9
,
5
0
,
w
h
ic
h
ti
m
e
o
f
ac
tio
n
is
les
s
t
h
an
a
n
h
o
u
r
an
d
th
e
d
is
ta
n
ce
b
et
w
ee
n
d
is
ch
ar
g
es
d
o
es
n
o
t
e
x
ce
ed
2
0
k
m
,
ca
n
b
e
r
ef
er
r
ed
to
o
n
e
-
ce
ll
s
to
r
m
s
.
I
n
ca
s
e
i
f
d
u
r
atio
n
o
f
ac
t
io
n
o
f
a
clu
s
ter
i
s
s
e
v
er
al
h
o
u
r
s
,
s
u
c
h
as,
t
h
e
clu
s
ter
5
4
,
o
r
th
er
e
ar
e
s
o
m
e
s
ep
ar
ate
clu
s
ter
s
,
w
h
ic
h
e
m
er
g
e
n
ce
ti
m
e
p
r
ac
ticall
y
co
in
cid
es,
th
e
y
ca
n
b
e
co
n
s
id
er
ed
as a
n
an
alo
g
o
f
t
h
e
m
u
ltice
ll st
o
r
m
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
J
E
C
E
I
SS
N:
2
0
8
8
-
8708
WW
L
LN
Da
ta
C
lu
s
te
r
A
n
a
lysi
s
Meth
o
d
s
fo
r
Lig
h
tn
in
g
-
C
a
u
s
ed
F
o
r
est .
.
.
.
(
B
a
r
a
n
o
vskiy
N
iko
la
y)
3117
a)
-
E
p
s
v
ar
ies
f
r
o
m
1
5
to
7
5
k
m
;
b
)
-
t
i
m
e
E
p
s
v
ar
ies f
r
o
m
1
5
to
6
0
m
i
n
;
Fig
u
r
e
2
.
Var
iatio
n
in
Av
er
ag
e
C
lu
s
t
er
Sto
r
m
D
u
r
atio
n
a
n
d
T
o
tal
N
o
is
e
P
o
in
ts
T
h
r
o
u
g
h
V
ar
y
in
g
O
n
e
C
lu
s
ter
i
n
g
P
ar
a
m
e
ter
w
it
h
t
h
e
o
th
er
s
Held
C
o
n
s
t
a
n
t
(
co
n
s
tan
t
s
et:
20
E
p
s
k
m
,
30
t
i
m
e
E
p
s
m
i
n
,
an
d
3
M
i
n
P
t
s
);
T
ab
le
1
.
D
ates o
f
R
eg
i
s
tr
ati
o
n
o
f
L
i
g
h
tn
in
g
Di
s
c
h
ar
g
es a
n
d
R
eg
i
s
tr
atio
n
o
f
Sto
r
m
s
f
o
r
T
o
m
s
k
Me
teo
r
o
lo
g
ical
Statio
n
(
A
cc
o
r
d
in
g
to
t
h
e
Dat
a
o
f
R
eliab
le
P
r
o
g
n
o
s
is
r
p
5
.
r
u
)
D
a
t
e
t
h
e
f
i
r
st
l
i
g
h
t
n
i
n
g
d
i
s
c
h
a
r
g
e
(
U
T
S
)
t
h
e
r
e
c
e
n
t
l
i
g
h
t
n
i
n
g
d
i
s
c
h
a
r
g
e
(
U
T
S
)
t
h
e
n
u
m
b
e
r
o
f
l
i
g
h
t
n
i
n
g
st
r
i
k
e
s
w
e
a
t
h
e
r
st
a
t
i
o
n
T
o
msk
2
0
1
4
-
04
-
19
1
1
:
4
8
1
1
:
4
8
1
N
o
t
2
0
1
4
-
05
-
03
1
4
:
2
4
1
7
:
0
7
72
Y
e
s
2
0
1
4
-
05
-
04
1
8
:
5
6
2
2
:
2
8
36
Y
e
s
2
0
1
4
-
05
-
13
9
:
5
4
1
1
:
2
8
4
N
o
t
2
0
1
4
-
05
-
21
4
:
3
3
9
:
0
9
11
Y
e
s
2
0
1
4
-
05
-
24
0
:
3
8
9
:
3
6
35
Y
e
s
2
0
1
4
-
06
-
10
9
:
3
9
1
1
:
4
1
6
N
o
t
2
0
1
4
-
06
-
19
8
:
2
8
1
0
:
3
9
17
Y
e
s
2
0
1
4
-
06
-
26
7
:
3
0
1
0
:
4
6
1
4
5
Y
e
s
2
0
1
4
-
07
-
02
1
4
:
0
8
1
4
:
0
8
1
N
o
t
2
0
1
4
-
07
-
07
7
:
4
5
7
:
4
5
1
N
o
t
2
0
1
4
-
07
-
09
0
:
1
3
1
:
5
3
6
N
o
t
2
0
1
4
-
07
-
10
2
3
:
5
8
2
3
:
5
9
4
N
o
t
2
0
1
4
-
07
-
11
0
:
0
1
6
:
3
3
17
N
o
t
2
0
1
4
-
07
-
13
1
2
:
0
7
2
1
:
1
9
2
7
3
Y
e
s
2
0
1
4
-
07
-
19
1
9
:
0
4
1
9
:
1
5
3
N
o
t
2
0
1
4
-
07
-
22
1
3
:
2
7
2
2
:
2
9
3
4
1
Y
e
s
2
0
1
4
-
07
-
23
1
1
:
5
4
2
3
:
2
7
1
7
8
Y
e
s
2
0
1
4
-
07
-
26
5
:
5
3
1
5
:
4
0
1
5
8
Y
e
s
2
0
1
4
-
07
-
27
1
0
:
1
1
1
2
:
1
3
9
N
o
t
2
0
1
4
-
07
-
29
1
:
4
2
1
:
4
2
1
N
o
t
2
0
1
4
-
08
-
06
7
:
4
7
9
:
3
0
24
Y
e
s
2
0
1
4
-
08
-
11
1
7
:
0
9
2
1
:
1
3
76
Y
e
s
2
0
1
4
-
08
-
12
1
0
:
1
8
1
0
:
1
8
1
N
o
t
2
0
1
4
-
08
-
13
2
:
4
3
1
3
:
5
8
82
Y
e
s
2
0
1
4
-
08
-
15
1
6
:
2
2
1
6
:
5
7
2
Y
e
s
2
0
1
4
-
08
-
24
2
1
:
3
5
2
3
:
3
6
36
Y
e
s
2
0
1
4
-
08
-
25
0
:
0
3
2
0
:
2
8
2
0
9
Y
e
s
2
0
1
4
-
09
-
23
1
0
:
2
4
1
0
:
5
0
6
N
o
t
I
n
g
e
n
er
al,
th
e
co
n
d
u
cted
cl
u
s
ter
an
al
y
s
i
s
allo
w
s
u
s
to
m
a
r
k
o
u
t
m
o
r
e
d
etailed
b
eh
av
io
r
o
f
s
to
r
m
ac
tiv
it
y
in
t
h
e
co
n
s
id
er
ed
ter
r
ito
r
y
.
W
e
ca
n
o
b
s
er
v
e
a
g
o
o
d
co
h
er
en
ce
o
f
ti
m
e
to
r
eg
i
s
ter
th
e
d
a
y
s
w
i
th
W
W
L
L
N
s
to
r
m
a
n
d
n
et
w
o
r
k
o
f
m
eteo
r
o
lo
g
ical
s
ta
tio
n
s
in
ca
s
e
o
f
a
lar
g
e
n
u
m
b
er
o
f
li
g
h
t
n
i
n
g
d
is
ch
ar
g
es
(
m
o
r
e
th
an
2
0
)
.
L
et
's
n
o
te
t
h
at
m
o
s
t
o
f
te
n
,
t
h
e
s
to
r
m
f
ir
es
o
c
cu
r
o
n
s
u
b
u
r
b
s
o
f
s
to
r
m
f
r
o
n
ts
,
w
h
er
e
th
er
e
is
t
h
e
s
m
al
ler
n
u
m
b
er
o
f
r
ain
f
all
s
,
a
n
d
th
er
e
is
a
h
ig
h
p
r
o
b
ab
ilit
y
o
f
p
o
s
itiv
e
l
ig
h
t
n
i
n
g
d
is
c
h
ar
g
e
s
to
em
er
g
e.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
0
8
8
-
8708
I
J
E
C
E
Vo
l.
6
,
No
.
6
,
Dec
em
b
er
2
0
1
6
:
3
11
2
–
31
2
0
3118
T
ab
le
2
.
P
ar
am
eter
s
o
f
Cl
u
s
ter
s
at
I
n
itial
C
o
n
d
itio
n
s
2
0
,
3
,
3
0
C
l
u
st
e
r
N
u
m
b
e
r
S
t
a
r
t
T
i
me
En
d
T
i
me
D
u
r
a
t
i
o
n
N
u
mb
e
r
o
f
Di
sc
h
a
r
g
e
s
48
1
3
:
2
7
1
4
:
0
8
0
:
4
1
18
49
1
4
:
3
4
1
4
:
4
7
0
:
1
3
10
50
1
5
:
2
7
1
5
:
3
9
0
:
1
2
3
51
1
6
:
5
5
1
7
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1
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N
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7
(
a)
(
b
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Fig
u
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3
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u
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k
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S
w
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ter
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m
ac
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th
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o
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e
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4.
CO
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SI
O
N
R
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p
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ter
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2
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4
.
T
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f
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t
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s
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t
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ac
ti
v
it
y
i
n
t
h
e
co
n
tr
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lled
ter
r
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y
.
ACK
NO
WL
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D
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W
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m
p
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m
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Fo
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Evaluation Warning : The document was created with Spire.PDF for Python.
I
J
E
C
E
I
SS
N:
2
0
8
8
-
8708
WW
L
LN
Da
ta
C
lu
s
te
r
A
n
a
lysi
s
Meth
o
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s
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Lig
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a
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F
o
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est .
.
.
.
(
B
a
r
a
n
o
vskiy
N
iko
la
y)
3119
RE
F
E
R
E
NC
E
S
[1
]
Ku
z
n
e
tso
v
G
.
V.
a
n
d
Ba
ra
n
o
v
sk
i
y
N.
V.
,
―
F
o
re
c
a
st
o
f
f
o
re
st
f
ires
o
c
c
u
rre
n
c
e
a
n
d
th
e
ir
e
c
o
lo
g
ica
l
c
o
n
se
q
u
e
n
c
e
s
,‖
No
v
o
sib
irsk
:
P
u
b
li
s
h
in
g
h
o
u
se
o
f
th
e
S
i
b
e
ria
n
Bra
n
c
h
o
f
t
h
e
Ru
ss
i
a
n
Aca
d
e
my
o
f
S
c
ien
c
e
,
2
0
0
9
.
[2
]
P
o
d
u
r
J.,
e
t
a
l.
,
―
S
p
a
ti
a
l
p
a
tt
e
rn
s
l
ig
h
tn
in
g
-
c
a
u
se
d
f
o
re
st
f
ire
s
in
On
tario
1
9
7
6
—
1
9
9
8
,
‖
Eco
lo
g
ica
l
M
o
d
e
ll
in
g
,
v
o
l.
1
6
4
,
p
p
.
1
–
2
0
,
2
0
0
3
.
[3
]
Co
ll
in
s
R.
D.,
e
t
a
l.
,
―
F
o
re
st
f
ire
m
a
n
a
g
e
m
e
n
t
to
a
v
o
id
u
n
i
n
ten
d
e
d
c
o
n
se
q
u
e
n
c
e
s:
A
c
a
se
stu
d
y
o
f
P
o
r
tu
g
a
l
u
sin
g
s
y
ste
m
d
y
n
a
m
ic
s
,
‖
J
o
u
rn
a
l
o
f
En
v
iro
n
me
n
ta
l
M
a
n
a
g
e
me
n
t
,
v
o
l.
1
3
0
,
p
p
.
1
–
9
,
2
0
1
3
.
[4
]
G
u
p
ta
M
.
,
e
t
a
l.
,
―
Ex
p
e
rime
n
tal
e
v
a
lu
a
ti
o
n
o
f
f
ire
su
p
p
re
ss
io
n
c
h
a
r
a
c
teristics
o
f
t
w
in
f
lu
id
w
a
ter
m
is
t
s
y
ste
m
,
‖
Fi
re
S
a
fety
J
o
u
rn
a
l
,
v
o
l
.
5
4
,
p
p
.
1
3
0
–
1
4
2
,
2
0
1
2
.
[5
]
T
a
y
lo
r
S
.
W.
a
n
d
A
lex
a
n
d
e
r
M.
E.
,
―
S
c
ien
c
e
,
tec
h
n
o
l
o
g
y
a
n
d
h
u
m
a
n
fa
c
to
rs
in
f
ire
d
a
n
g
e
r
ra
ti
n
g
:
Ca
n
a
d
ian
e
x
p
e
rien
c
e
,
‖
In
ter
n
a
ti
o
n
a
l
J
o
u
rn
a
l
o
f
W
il
d
la
n
d
Fi
re
,
v
o
l.
1
5
,
p
p
.
1
2
1
–
1
3
5
,
2
0
0
6
.
[6
]
Ba
ra
n
o
v
sk
i
y
N.
V.
,
―
P
r
o
jec
t
o
f
Eu
ra
sia
n
S
e
g
m
e
n
t
o
f
th
e
Ne
w
S
y
ste
m
o
f
F
o
re
st
F
ire
Ris
k
P
re
d
ictio
n
Ba
se
d
o
n
In
f
o
rm
a
ti
o
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a
n
d
C
o
m
p
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ter
T
e
c
h
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o
l
o
g
ies
,
‖
J
o
u
rn
a
l
o
f
A
u
to
m
a
ti
o
n
a
n
d
I
n
fo
rm
a
t
io
n
S
c
ien
c
e
s
,
v
o
l.
4
7
,
p
p
.
4
0
–
5
6
,
2
0
1
5
.
[7
]
Bib
li
o
g
ra
p
h
y
o
n
th
e
Ca
n
a
d
ian
F
o
re
st
F
ire
Da
n
g
e
r
R
a
ti
n
g
S
y
ste
m
.
1
9
6
9
-
1
9
8
5
(
wit
h
1
9
8
6
a
n
d
1
9
8
7
su
p
p
lem
e
n
ts
)
1
9
8
8
.
Al
e
x
a
n
d
e
r,
M
.
E.
,
c
o
mp
il
e
r.
Ca
n
a
d
i
a
n
Fo
re
stry
S
e
rv
ice
,
No
rt
h
e
rn
Fo
re
stry
Ce
n
tre
,
E
d
mo
n
to
n
,
AB
.
[8
]
De
e
m
in
g
J.
E.,
e
t
a
l.
,
―
T
h
e
Na
ti
o
n
a
l
F
ire
-
Da
n
g
e
r
Ra
ti
n
g
S
y
ste
m
,
‖
Og
d
e
n
,
Uta
h
:
US
D
A
F
o
re
st
S
e
rv
ice
,
Ge
n
e
ra
l
T
e
c
h
n
ica
l
re
p
o
rt.
IN
T
-
3
9
,
1
9
7
8
.
[9
]
Ca
m
ia
A
.
,
e
t
a
l.
,
―
F
ire
d
a
n
g
e
r
ra
ti
n
g
in
th
e
Eu
ro
p
e
a
n
F
o
re
st
F
ire
In
f
o
r
m
a
ti
o
n
S
y
ste
m
(E
F
F
IS
):
Cu
rre
n
t
d
e
v
e
lo
p
m
e
n
ts
,
‖
Fo
re
st E
c
o
lo
g
y
a
n
d
M
a
n
a
g
e
me
n
t
,
v
o
l
.
2
3
4
,
2
0
0
6
.
[1
0
]
L
o
u
p
ian
E.
A
.
,
e
t
a
l.
,
―
S
a
telli
te
d
a
ta
p
ro
c
e
ss
in
g
m
a
n
a
g
e
m
e
n
t
in
F
o
re
st
F
ires
Re
m
o
te
M
o
n
it
o
r
i
n
g
In
f
o
rm
a
ti
o
n
S
y
st
e
m
(IS
DM
-
Ro
sle
sk
h
o
z
)
o
f
th
e
F
e
d
e
ra
l
Ag
e
n
c
y
f
o
r
F
o
re
stry
(R
e
v
ie
w
),
‖
S
o
v
re
me
n
n
y
e
Pro
b
lem
y
Dista
n
tsi
o
n
n
o
g
o
Z
o
n
d
ir
o
v
a
n
iy
a
Z
e
mli
iz
Ko
sm
o
sa
,
v
o
l.
1
2
,
p
p
.
2
2
2
–
2
5
0
,
2
0
1
5
.
[1
1
]
Ba
ra
n
o
v
sk
i
y
N.
V.
a
n
d
Zh
a
rik
o
v
a
M.
V.
,
―
A
W
e
b
Orie
n
ted
G
e
o
in
f
o
rm
a
ti
o
n
S
y
ste
m
A
p
p
li
c
a
ti
o
n
f
o
r
F
o
re
st
F
ire
Da
n
g
e
r
P
re
d
ictio
n
in
T
y
p
ica
l
F
o
re
sts o
f
th
e
U
k
ra
in
e
,
‖
L
e
c
tu
re
No
tes
in
Ge
o
in
fo
rm
a
ti
o
n
a
n
d
Ca
rt
o
g
ra
p
h
y
,
T
h
e
ma
ti
c
Ca
rto
g
r
a
p
h
y
fo
r
th
e
S
o
c
iety
,
p
p
.
13
–
2
2
,
2
0
1
4
.
[1
2
]
Ku
z
n
e
tso
v
G
.
V
.
,
e
t
a
l
.
,
―
M
a
th
e
m
a
ti
c
a
l
si
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–
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0
1
5
.
[1
3
]
S
o
rian
o
L
.
R.
,
e
t
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.,
―
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Ib
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,
‖
J
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At
mo
sp
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T
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Ph
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v
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3
9
,
2
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[1
4
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Iv
a
n
o
v
V.
A.
,
―
S
t
o
rm
a
c
ti
v
it
y
a
n
d
f
o
re
st f
ire
s
,
‖
Fo
re
st f
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s a
n
d
fi
g
h
t
a
g
a
in
st
t
h
e
m /
M
o
sc
o
w:
VNII
L
M
,
1
9
8
7
.
[1
5
]
L
a
rja
v
a
a
r
a
M
.
,
e
t
a
l.
,
―
S
p
a
ti
a
l
d
istri
b
u
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io
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o
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in
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f
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in
F
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,
‖
F
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Eco
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M
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me
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8
,
p
p
.
1
7
7
–
1
8
8
,
2
0
0
5
.
[1
6
]
A
z
m
e
to
v
R.
R.
,
e
t
a
l.
,
―
P
ro
sp
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c
ts
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f
c
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f
th
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Ru
ss
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isa
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rs
,
‖
in
Pro
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I
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T
o
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2
0
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.
[1
7
]
G
rish
in
A
.
M.
a
n
d
F
il
k
o
v
A.
I.
,
―
F
o
re
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a
st o
f
o
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c
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rre
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c
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a
n
d
s
p
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a
d
in
g
o
f
f
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st f
ires
,‖
Ke
m
e
ro
v
o
:
P
ra
c
ti
c
e
.
2
0
0
5
.
[1
8
]
Ka
lab
o
k
id
is
K.,
e
t
a
l.
,
―
V
irt
u
a
l
F
i
re
:
A
w
e
b
b
a
se
d
G
IS
p
latf
o
rm
f
o
r
f
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re
st
f
ire
c
o
n
tro
l
,
‖
Ec
o
lo
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ica
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I
n
fo
rm
a
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ics
,
v
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l.
1
6
,
p
p
.
6
2
–
6
9
,
2
0
1
3
.
[1
9
]
R
.
A
se
r
e
tt
o
D.,
e
t
a
l.
,
―
A
Da
ta
-
d
riv
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n
M
o
d
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f
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L
a
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W
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d
f
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Be
h
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P
re
d
icti
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Eu
r
o
p
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,
‖
Pro
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a
Co
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ter
S
c
ien
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e
,
v
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l.
1
8
,
p
p
.
1
8
6
1
–
1
8
7
0
,
2
0
1
3
.
[2
0
]
Ro
d
g
e
r
C.
J.,
e
t
a
l
.
,
―
De
tec
ti
o
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e
ff
icie
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c
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ig
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Ne
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(
WW
L
LN):
in
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,
‖
An
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Ge
o
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sic
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e
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v
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l.
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4
,
p
p
.
3
1
9
7
–
3
2
1
4
,
2
0
0
6
.
[2
1
]
Ya
n
k
o
I.
V.
,
―
P
y
ro
lo
g
ica
l
a
ss
e
ss
m
e
n
t
o
f
th
e
territo
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y
o
f
th
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T
o
m
s
k
re
g
io
n
.
Diss
,‖
T
o
m
s
k
:
T
o
m
sk
s
tate
p
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d
a
g
o
g
ica
l
uni
v
e
rsity
,
2
0
0
5
.
[2
2
]
Do
n
g
L
.
,
e
t
a
l.
,
―
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in
d
p
o
w
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r
d
a
y
-
a
h
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a
d
p
re
d
ictio
n
w
it
h
c
lu
ste
r
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sis
o
f
N
W
P
,
‖
Ren
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wa
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le
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u
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in
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En
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rg
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Rev
iews
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0
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p
p
.
1
2
0
6
–
1
2
1
2
,
2
0
1
6
.
[2
3
]
P
a
re
n
te
J.,
e
t
a
l.
,
―
S
p
a
c
e
-
ti
m
e
c
lu
ste
rin
g
a
n
a
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sis
o
f
w
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f
ires
:
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h
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in
f
lu
e
n
c
e
o
f
d
a
tas
e
t
c
h
a
r
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teristics
,
f
ire
p
re
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ti
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li
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e
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isio
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s,
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e
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d
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li
m
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te
,
‖
S
c
ien
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T
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En
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me
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p
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–
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.
[2
4
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P
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M
.
G
.
,
e
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―
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p
a
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f
w
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f
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s
in
P
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rtu
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,
‖
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v
iro
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me
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M
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&
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p
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2
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[2
5
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S
trau
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C.
,
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―
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p
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‖
At
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Res
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l.
1
3
4
,
p
p
.
8
7
–
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9
,
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0
1
3
.
[2
6
]
Ev
se
e
v
a
I.
S.
a
n
d
Zem
tso
v
A
.
A.
,
―
Bu
lg
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f
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W
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S
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P
lai
n
,‖
T
o
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s
k
,
P
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b
l
ish
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h
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o
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T
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sk
Un
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y
,
1
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9
0
.
[2
7
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Ester
M
.
,
e
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a
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,
―
A
d
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sity
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b
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s
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lg
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m
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‖
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Pro
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S
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o
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d
I
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ter
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C
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fer
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Kn
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wle
d
g
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Disc
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a
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d
Da
t
a
M
in
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n
g
(
KDD
-
9
6
)/E
d
s.
S
imo
u
d
is
E
.
,
Ha
n
J
.
,
Us
a
ma
F.
M
.
AA
AI
Pre
ss
,
1
9
9
6
.
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